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CT Criteria Parser

Analyze eligibility criteria in ClinicalTrials.gov. Example input: nctid NCT05859269

CT Criteria Parser plugin is a powerful tool that analyzes eligibility criteria in ClinicalTrials.gov. It allows you to input the NCT ID and parse the criteria to identify medical keywords associated with patients. The plugin extracts medical terms related to demographics, diseases, diagnoses, condition severity, procedures, treatments, measurements, observations, medications, and medical history. By doing so, it creates two tables, one for the Inclusion Criteria and another for the Exclusion Criteria. Each table categorizes the medical terms appropriately and displays them in capitalized STRONG tag, providing a clear and concise summary of the criteria. Now, you can analyze Clinical Trials data more efficiently and quickly.

Learn how to use CT Criteria Parser effectively! Here are a few example prompts, tips, and the documentation of available commands.

Example prompts

  1. Prompt 1: "Can you parse the inclusion criteria for this clinical trial?"

  2. Prompt 2: "Please analyze the exclusion criteria of this trial and display the relevant medical terms."

  3. Prompt 3: "I need you to identify the patient demographics mentioned in the eligibility criteria."

  4. Prompt 4: "What are the medical procedures listed in the inclusion criteria?"

  5. Prompt 5: "Find all the medications specified in the exclusion criteria."

Features and commands

Feature/CommandDescription
getTrialThis command retrieves the eligibility criteria for a specific clinical trial from ClinicalTrials.gov. You need to provide the NCT ID of the trial as a parameter.
parseInclusionCriteriaThis command parses the inclusion criteria of a clinical trial, identifying and categorizing key medical terms and patient demographics.
parseExclusionCriteriaThis command parses the exclusion criteria of a clinical trial, identifying and categorizing key medical terms and patient demographics.
displayMedicalTermsThis command displays the parsed medical terms from the eligibility criteria. It generates two tables: one for the inclusion criteria and another for the exclusion criteria. Each table has two columns, where the first column represents the category of the medical term and the second column contains the original text with the parsed medical terms enclosed within square brackets and displayed in STRONG tags, capitalized.

Configuration

User authenticationNo user authentication
API documentation

For AI

NameCTCP
DescriptionYou are given eligibility criteria for a specific Clinical Trial. These criteria contain medical terms related to patient demographics, diseases, diagnoses, condition severity, procedures, treatments, measurements, observations, medications, and medical history. Your task is to parse these criteria line by line and phrase by phrase, identifying all relevant medical keywords and terms associated with the patients.Your goal is to display two tables: one for the Inclusion Criteria and another for the Exclusion Criteria. Each table should have two columns. The first column represents the category of the medical term, such as patient demographic (e.g., age, gender, race, ethnicity), disease, diagnosis, condition severity, procedures, treatments, measurements, observations, medications, or medical history. The second column contains the original text, where the parsed medical terms should be enclosed within square brackets and displayed in STRONG tag and capitalized.

Updates

First added20 June 2023

Admin

CT Criteria Parser Analyze eligibility criteria in ClinicalTrials.gov. Example input: nctid NCT05859269 | plugin surf

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